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ICML
2006
IEEE
16 years 6 months ago
Totally corrective boosting algorithms that maximize the margin
We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...
Gunnar Rätsch, Jun Liao, Manfred K. Warmuth
WWW
2004
ACM
16 years 6 months ago
Educanext: a framework for sharing live educational resources with isabel
EducaNext is an educational mediator created within the UNIVERSAL IST Project which supports both, the exchange of reusable educational materials based on open standards, as well ...
Juan Quemada, Gabriel Huecas, Tomás de Migu...
CHI
2005
ACM
16 years 5 months ago
Connecting with kids: so what's new?
From pre-schools to high schools, at home and in museums, the educational community has embraced the use of computers as a teaching tool. Yet many institutions will simply install...
Lori L. Scarlatos, Amy Bruckman, Allison Druin, Mi...
IJCNN
2006
IEEE
15 years 11 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
MLDM
2005
Springer
15 years 11 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé